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(Ebook) Algorithms Illuminated Algorithms for NP Hard Problems 1st Edition by Tim Roughgarden ISBN 0999282964 9780999282960

  • SKU: EBN-11728390
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Instant download (eBook) Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems after payment.
Authors:Tim Roughgarden
Year:2020
Editon:3
Language:english
File Size:15.52 MB
Format:pdf
ISBNS:9780999282960, 9780999282977, 9782017914280, 0999282964, 0999282972, 2017914282
Categories: Ebooks

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(Ebook) Algorithms Illuminated Algorithms for NP Hard Problems 1st Edition by Tim Roughgarden ISBN 0999282964 9780999282960

(Ebook) Algorithms Illuminated Algorithms for NP Hard Problems 1st Edition by Tim Roughgarden - Ebook PDF Instant Download/Delivery: 0999282964, 9780999282960
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Product details:

ISBN 10: 0999282964 
ISBN 13: 9780999282960
Author: Tim Roughgarden

Fourth book in a series that provides an accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Includes hints or solutions to all quizzes and problems, and a series of YouTube videos by the author accompanies the book. Part 4 covers algorithmic tools for tackling NP-hard problems (heuristic algorithms, local search, dynamic programming, MIP and SAT solvers) and techniques for quickly recognizing NP-hard problems in the wild.

(Ebook) Algorithms Illuminated Algorithms for NP Hard Problems 1st Table of contents:

  1. Some Vocabulary — Page 13

  2. A Few Applications — Page 14

  3. Measuring the Size of a Graph — Page 15

  4. Representing a Graph — Page 19

  5. Problems — Page 25

  6. Overview — Page 27

  7. Breadth-First Search and Shortest Paths — Page 37

  8. Computing Connected Components — Page 46

  9. Depth-First Search — Page 52

  10. Topological Sort — Page 57

  11. Computing Strongly Connected Components — Page 66

  12. The Structure of the Web — Page 78

  13. Problems — Page 83

  14. The Single-Source Shortest Path Problem — Page 88

  15. Dijkstra's Algorithm — Page 92

  16. Why Is Dijkstra's Algorithm Correct? — Page 95

  17. Implementation and Running Time — Page 101

  18. Problems — Page 103

  19. Data Structures: An Overview — Page 107

  20. Supported Operations — Page 110

  21. Applications — Page 113

  22. Speeding Up Dijkstra's Algorithm — Page 118

  23. Implementation Details — Page 124

  24. Problems — Page 135

  25. Sorted Arrays — Page 138

  26. Search Trees: Supported Operations — Page 141

  27. Implementation Details — Page 143

  28. Balanced Search Trees — Page 157

  29. Problems — Page 161

  30. Supported Operations — Page 163

  31. Applications — Page 166

  32. Implementation: High-Level Ideas — Page 171

  33. Further Implementation Details — Page 185

  34. Bloom Filters: The Basics — Page 190

  35. Bloom Filters: Heuristic Analysis — Page 196

  36. Problems — Page 202

  37. The Gist — Page 205

  38. Big-O Notation — Page 206

  39. Examples — Page 207

  40. Big-Omega and Big-Theta Notation — Page 209

  41. Solutions to Selected Problems — Page 212

  42. Index — Page 215

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Tags: Tim Roughgarden, Algorithms, Problems

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